A method includes determining a first brightness level of a first video frame and a second brightness level of a second video frame, the second video frame immediately following the first video frame. In response to determining that the second brightness level differs from the first brightness level by at least a predetermined amount, the method includes modifying the brightness of the second video frame and a predetermined number of successive frames to provide successive fractional increments of brightness between the first brightness level and the second brightness level.
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2. The method of claim 1, wherein the first brightness level and the second brightness level are determined based on an average brightness of a raster line of the first video frame and an average brightness of a corresponding raster line of the second video frame.
This invention relates to video processing techniques for reducing flicker in displayed video content. The problem addressed is flicker artifacts that occur when displaying video frames at different brightness levels, particularly in scenarios where frames are interlaced or when brightness adjustments are applied dynamically. Flicker can cause visual discomfort and degrade viewing quality, especially in scenes with rapid brightness changes or when displaying content on devices with limited refresh rates. The method involves analyzing brightness levels across corresponding raster lines of consecutive video frames to determine optimal brightness adjustments. Specifically, the first and second brightness levels for a given raster line are calculated based on the average brightness of that line in the first video frame and the corresponding line in the second video frame. By dynamically adjusting brightness levels in this manner, the method ensures smoother transitions between frames, minimizing flicker while preserving visual fidelity. The technique is particularly useful in applications such as video playback, display systems, and real-time video processing where flicker reduction is critical for enhancing user experience. The approach leverages spatial and temporal brightness information to apply targeted adjustments, improving consistency across frames without introducing additional artifacts. This method is applicable to various video formats and display technologies, including interlaced and progressive video signals.
3. The method of claim 1, wherein the first brightness level and the second brightness level are determined based on identifying a first image source associated with the first video frame and based on identifying a second image source associated with the second video frame.
This invention relates to video processing systems that dynamically adjust brightness levels in video frames based on the source of the content. The problem addressed is the inconsistency in brightness when displaying video content from different sources, which can cause visual discomfort or require manual adjustments. The solution involves analyzing the source of each video frame to determine appropriate brightness levels for seamless viewing. The method identifies a first image source associated with a first video frame and a second image source associated with a second video frame. Based on these sources, it calculates a first brightness level for the first frame and a second brightness level for the second frame. The brightness levels are adjusted to ensure visual continuity when switching between different content sources, such as cameras, streaming services, or recorded media. The system may also account for environmental factors or user preferences to further refine the brightness adjustments. This approach automates brightness management, improving user experience without manual intervention.
4. The method of claim 1, wherein the determining is in response to receiving an indication of a transition from display of a first page at an Internet browser and display of a second page at the Internet browser.
5. The method of claim 1, wherein each of the predetermined number of successive frames is further modified to provide an adjustment of color information.
6. The method of claim 1, wherein each of the predetermined number of successive frames is further modified to provide an adjustment of luminosity.
7. The method of claim 1, wherein each of the predetermined number of successive frames is further modified to provide an adjustment of gamut size.
8. The method of claim 1, wherein a number of transitions of different fractional increments of the brightness is configurable.
9. The method of claim 1, determining fractional increments of the brightness.
11. The information handling system of claim 10, wherein the first brightness level and the second brightness level are determined based on identifying a first image source associated with the first video frame and based on identifying a second image source associated with the second video frame.
12. The information handling system of claim 10, wherein each of the predetermined number of successive frames is further modified to provide an adjustment of color information.
13. The information handling system of claim 10, wherein each of the predetermined number of successive frames is further modified to provide an adjustment of luminosity.
14. The information handling system of claim 10, wherein a number of transitions of different fractional increments of brightness is configurable.
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June 26, 2019
October 25, 2022
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